The Network Survival Method for Estimating Adult Mortality: Evidence From a Survey Experiment in Rwanda

Adult death rates are a critical indicator of population health and well-being. Wealthy countries have high-quality vital registration systems, but poor countries lack this infrastructure and must rely on estimates that are often problematic. In this article, we introduce the network survival method, a new approach for estimating adult death rates. We derive the precise conditions under which it produces consistent and unbiased estimates. Further, we develop an analytical framework for sensitivity analysis. To assess the performance of the network survival method in a realistic setting, we conducted a nationally representative survey experiment in Rwanda (n = 4,669). Network survival estimates were similar to estimates from other methods, even though the network survival estimates were made with substantially smaller samples and are based entirely on data from Rwanda, with no need for model life tables or pooling of data from other countries. Our analytic results demonstrate that the network survival method has attractive properties, and our empirical results show that this method can be used in countries where reliable estimates of adult death rates are sorely needed.     

The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates

We examine inferences about old-age mortality that arise when researchers use survey data matched to death records. We show that even small rates of failure to match respondents can lead to substantial bias in the measurement of mortality rates at older ages. This type of measurement error is consequential for three strands in the demographic literature: (1) the deceleration in mortality rates at old ages; (2) the black-white mortality crossover; and (3) the relatively low rate of old-age mortality among Hispanics, often called the “Hispanic paradox.” Using the National Longitudinal Survey of Older Men matched to death records in both the U.S. Vital Statistics system and the Social Security Death Index, we demonstrate that even small rates of missing mortality matching plausibly lead to an appearance of mortality deceleration when none exists and can generate a spurious black-white mortality crossover. We confirm these findings using data from the National Health Interview Survey matched to the U.S. Vital Statistics system, a data set known as the “gold standard” (Cowper et al. 2002) for estimating age-specific mortality. Moreover, with these data, we show that the Hispanic paradox is also plausibly explained by a similar undercount.     

Is the Association Between Education and Fertility Postponement Causal? The Role of Family Background Factors

A large body of literature has demonstrated a positive relationship between education and age at first birth. However, this relationship may be partly spurious because of family background factors that cannot be controlled for in most research designs. We investigate the extent to which education is causally related to later age at first birth in a large sample of female twins from the United Kingdom (N = 2,752). We present novel estimates using within–identical twin and biometric models. Our findings show that one year of additional schooling is associated with about one-half year later age at first birth in ordinary least squares (OLS) models. This estimate reduced to only a 1.5-month later age at first birth for the within–identical twin model controlling for all shared family background factors (genetic and family environmental). Biometric analyses reveal that it is mainly influences of the family environment—not genetic factors—that cause spurious associations between education and age at first birth. Last, using data from the Office for National Statistics, we demonstrate that only 1.9 months of the 2.74 years of fertility postponement for birth cohorts 1944–1967 could be attributed to educational expansion based on these estimates. We conclude that the rise in educational attainment alone cannot explain differences in fertility timing between cohorts.     

Discrimination,Sleep, and Stress Reactivity: Pathways to African American-White Cardiometabolic Risk Inequities

This review provides a model explicating two related physiologic and behavioral pathways through which the chronic daily stress of the expectation and experience of discrimination exposure can shape life course cardiometabolic risk trajectories: sleep and stress reactivity. We argue that these two pathways work together jointly to shape African American-White disparities in cardiometabolic morbidities. The body’s ongoing anticipation of experiencing racism-related stressors disrupts sleep, a behavior highly responsive to stress reactivity, which is also elevated during stressful conditions. The constant feedback between sleep disruption and the body’s stress response can lead to higher allostatic load and disproportionate exposure to stress-related illness among African Americans earlier in their life course.     

Negative Religious Rhetoric in the Lives of Black Cisgender Queer Emerging Adult Men: A Qualitative Analysis

Given the intersection of racial, religious, and sexual identities for Black queer populations, the current study examines sexuality-related religious rhetoric. Twenty Black cisgender queer men were recruited to participate in a qualitative interview. Using thematic analysis, the research team identified four themes: negative religious rhetoric, personal consequences of negative religious rhetoric, social consequences of negative religious rhetoric, and growth from negative religious rhetoric. Participants explained the pervasiveness of negative religious rhetoric within their churches and family structures. Men also conveyed how negative religious rhetoric frames societal ideologies around same-sex behavior, often condoning violence toward queer populations. Although men had negative experiences, participants articulated the importance of using oppression as a platform for growth. Black cisgender queer men are present within religious institutions; however, such negative religious rhetoric may negatively affect their mental and physical health. Researchers, clinicians, and clergy should consider the ways negative religious rhetoric marginalizes queer populations.     

To stay or to go? Postretirement housing choices of single Baby Boomer women

Single women of the Baby Boomer generation are often financially disadvantaged in the retirement planning process due to their lower accumulated savings compared to male retirees. This disadvantage impacts significant consumption decisions such as postretirement housing choices. This study uses the theory of planned behavior to examine how certainty in intentions influences preparing and planning for postretirement housing. A typology of single Baby Boomer women is developed based on their financial, demographic, and psychological circumstances. Each segment likely requires different informational strategies and financial services to foster proactive planning for retirement. Significant implications exist for social policy and the financial services sector.     

Do anti-bullying laws work? New evidence on school safety and youth violence

This study is the first to comprehensively examine the effect of state anti-bullying laws (ABLs) on school safety and youth violence. Using existing data from the Youth Risk Behavior Surveys and the Uniform Crime Reports, and newly-collected data on school shootings, we find little evidence that the typical state ABL is effective in improving school safety and student well-being. However, this null finding masks substantial policy heterogeneity. State mandates that require school districts to implement strong, comprehensive anti-bullying policies are associated with a 7 to 13 % reduction in school violence and an 8 to 12 % reduction in bullying. In addition, our results show that strong anti-bullying policy mandates are associated with a reduction in minor teen school shooting deaths and violent crime arrests, suggesting potentially important spillover effects.     

Presence and process of fear of birth during pregnancy—Findings from a longitudinal cohort study

Background

The prevalence of fear of birth has been estimated between 8–30%, but there is considerable heterogeneity in research design, definitions, measurement tools used and populations. There are some inconclusive findings about the stability of childbirth fear.

Birth preference in women undergoing treatment for childbirth fear: A randomised controlled trial

Background

Childbirth fear is the most common underlying reason for requesting a caesarean section without medical reason. The aim of this randomised controlled study was to investigate birth preferences in women undergoing treatment for childbirth fear, and to investigate birth experience and satisfaction with the allocated treatment.

Data-driven operations management: organisational implications of the digital transformation in industrial practice

Abstract

The ongoing digital transformation on industry has so far mostly been studied from the perspective of cyber-physical systems solutions as drivers of change. In this paper, we turn the focus to the changes in data management resulting from the introduction of new digital technologies in industry. So far, data processing activities in operations management have usually been organised according to the existing business structures inside and in-between companies. With increasing importance of Big Data in the context of the digital transformation, the opposite will be the case: business structures will evolve based on the potential to develop value streams offered on the basis of new data processing solutions. Based on a review of the extant literature, we identify the general different fields of action for operations management related to data processing. In particular, we explore the impact of Big Data on industrial operations and its organisational implications.